Dataset statistics
| Number of variables | 11 |
|---|---|
| Number of observations | 164 |
| Missing cells | 31 |
| Missing cells (%) | 1.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 14.2 KiB |
| Average record size in memory | 88.8 B |
Variable types
| NUM | 9 |
|---|---|
| CAT | 2 |
Density has 4 (2.4%) missing values | Missing |
GDP has 12 (7.3%) missing values | Missing |
GDP per cap has 12 (7.3%) missing values | Missing |
Temperature has 3 (1.8%) missing values | Missing |
df_index has unique values | Unique |
Country name has unique values | Unique |
Normalized cases has unique values | Unique |
Population has unique values | Unique |
Mortality rate has 12 (7.3%) zeros | Zeros |
Normalized deaths has 12 (7.3%) zeros | Zeros |
Reproduction
| Analysis started | 2020-10-14 22:26:41.767910 |
|---|---|
| Analysis finished | 2020-10-14 22:27:17.585462 |
| Duration | 35.82 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
| Distinct | 164 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 91.43292683 |
|---|---|
| Minimum | 0 |
| Maximum | 181 |
| Zeros | 1 |
| Zeros (%) | 0.6% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 11.15 |
| Q1 | 47.75 |
| median | 89.5 |
| Q3 | 137.25 |
| 95-th percentile | 171.85 |
| Maximum | 181 |
| Range | 181 |
| Interquartile range (IQR) | 89.5 |
Descriptive statistics
| Standard deviation | 52.25810544 |
|---|---|
| Coefficient of variation (CV) | 0.5715458014 |
| Kurtosis | -1.190680585 |
| Mean | 91.43292683 |
| Median Absolute Deviation (MAD) | 45 |
| Skewness | 0.02736182022 |
| Sum | 14995 |
| Variance | 2730.909584 |
| Monotocity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 181 | 1 | 0.6% | |
| 67 | 1 | 0.6% | |
| 65 | 1 | 0.6% | |
| 64 | 1 | 0.6% | |
| 63 | 1 | 0.6% | |
| 62 | 1 | 0.6% | |
| 61 | 1 | 0.6% | |
| 60 | 1 | 0.6% | |
| 59 | 1 | 0.6% | |
| 58 | 1 | 0.6% | |
| Other values (154) | 154 | 93.9% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.6% | |
| 1 | 1 | 0.6% | |
| 2 | 1 | 0.6% | |
| 4 | 1 | 0.6% | |
| 7 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 181 | 1 | 0.6% | |
| 180 | 1 | 0.6% | |
| 179 | 1 | 0.6% | |
| 178 | 1 | 0.6% | |
| 177 | 1 | 0.6% |
| Distinct | 164 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| Zimbabwe | 1 |
|---|---|
| Djibouti | 1 |
| Congo, Rep. | 1 |
| Malaysia | 1 |
| New Zealand | 1 |
| Other values (159) |
| Value | Count | Frequency (%) | |
| Zimbabwe | 1 | 0.6% | |
| Djibouti | 1 | 0.6% | |
| Congo, Rep. | 1 | 0.6% | |
| Malaysia | 1 | 0.6% | |
| New Zealand | 1 | 0.6% | |
| Uganda | 1 | 0.6% | |
| Myanmar | 1 | 0.6% | |
| Russian Federation | 1 | 0.6% | |
| Turkey | 1 | 0.6% | |
| Belarus | 1 | 0.6% | |
| Other values (154) | 154 | 93.9% |
Frequencies of value counts
Unique
| Unique | 164 ? |
|---|---|
| Unique (%) | 100.0% |
Histogram of lengths of the category
Length
| Max length | 30 |
|---|---|
| Median length | 8 |
| Mean length | 9.201219512 |
| Min length | 4 |
| Distinct | 153 |
|---|---|
| Distinct (%) | 93.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.601611255 |
|---|---|
| Minimum | 0 |
| Maximum | 28.91625616 |
| Zeros | 12 |
| Zeros (%) | 7.3% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1.120588135 |
| median | 1.99068027 |
| Q3 | 3.096776389 |
| 95-th percentile | 6.234152212 |
| Maximum | 28.91625616 |
| Range | 28.91625616 |
| Interquartile range (IQR) | 1.976188254 |
Descriptive statistics
| Standard deviation | 2.915400699 |
|---|---|
| Coefficient of variation (CV) | 1.120613502 |
| Kurtosis | 40.84700915 |
| Mean | 2.601611255 |
| Median Absolute Deviation (MAD) | 1.017159386 |
| Skewness | 5.104675012 |
| Sum | 426.6642458 |
| Variance | 8.499561234 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 12 | 7.3% | |
| 6.056447942 | 1 | 0.6% | |
| 4.220779221 | 1 | 0.6% | |
| 3.707389263 | 1 | 0.6% | |
| 1.77107106 | 1 | 0.6% | |
| 2.2172949 | 1 | 0.6% | |
| 2.906915362 | 1 | 0.6% | |
| 0.564516129 | 1 | 0.6% | |
| 2.246469833 | 1 | 0.6% | |
| 0.834028357 | 1 | 0.6% | |
| Other values (143) | 143 | 87.2% |
| Value | Count | Frequency (%) | |
| 0 | 12 | 7.3% | |
| 0.04680592875 | 1 | 0.6% | |
| 0.206185567 | 1 | 0.6% | |
| 0.3844675125 | 1 | 0.6% | |
| 0.3881755748 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 28.91625616 | 1 | 0.6% | |
| 11.62529535 | 1 | 0.6% | |
| 10.4955598 | 1 | 0.6% | |
| 9.740237184 | 1 | 0.6% | |
| 8.841963423 | 1 | 0.6% |
| Distinct | 164 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.003138400528 |
|---|---|
| Minimum | 3.208054169e-06 |
| Maximum | 0.01521941358 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 3.208054169e-06 |
|---|---|
| 5-th percentile | 5.2630786e-05 |
| Q1 | 0.0003695141644 |
| median | 0.001530368924 |
| Q3 | 0.005117437358 |
| 95-th percentile | 0.009808820373 |
| Maximum | 0.01521941358 |
| Range | 0.01521620552 |
| Interquartile range (IQR) | 0.004747923194 |
Descriptive statistics
| Standard deviation | 0.003418165608 |
|---|---|
| Coefficient of variation (CV) | 1.089142567 |
| Kurtosis | 0.9438946883 |
| Mean | 0.003138400528 |
| Median Absolute Deviation (MAD) | 0.001395941973 |
| Skewness | 1.242360753 |
| Sum | 0.5146976866 |
| Variance | 1.168385612e-05 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0.0002365534895 | 1 | 0.6% | |
| 0.001607641129 | 1 | 0.6% | |
| 0.005389590391 | 1 | 0.6% | |
| 0.01328126008 | 1 | 0.6% | |
| 0.0005327928066 | 1 | 0.6% | |
| 0.006460998643 | 1 | 0.6% | |
| 0.003980218926 | 1 | 0.6% | |
| 0.004236105944 | 1 | 0.6% | |
| 6.471705605e-05 | 1 | 0.6% | |
| 0.004320737185 | 1 | 0.6% | |
| Other values (154) | 154 | 93.9% |
| Value | Count | Frequency (%) | |
| 3.208054169e-06 | 1 | 0.6% | |
| 8.775035551e-06 | 1 | 0.6% | |
| 1.108207196e-05 | 1 | 0.6% | |
| 1.674092724e-05 | 1 | 0.6% | |
| 2.087974889e-05 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 0.01521941358 | 1 | 0.6% | |
| 0.01427402264 | 1 | 0.6% | |
| 0.01328126008 | 1 | 0.6% | |
| 0.01160347778 | 1 | 0.6% | |
| 0.01143302218 | 1 | 0.6% |
| Distinct | 153 |
|---|---|
| Distinct (%) | 93.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.010595813e-05 |
|---|---|
| Minimum | 0 |
| Maximum | 0.0008685085538 |
| Zeros | 12 |
| Zeros (%) | 7.3% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6.846155225e-06 |
| median | 2.8732307e-05 |
| Q3 | 9.234305459e-05 |
| 95-th percentile | 0.0004570041216 |
| Maximum | 0.0008685085538 |
| Range | 0.0008685085538 |
| Interquartile range (IQR) | 8.549689936e-05 |
Descriptive statistics
| Standard deviation | 0.0001549799337 |
|---|---|
| Coefficient of variation (CV) | 1.719974316 |
| Kurtosis | 8.106901404 |
| Mean | 9.010595813e-05 |
| Median Absolute Deviation (MAD) | 2.657157096e-05 |
| Skewness | 2.803093656 |
| Sum | 0.01477737713 |
| Variance | 2.401877986e-08 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0 | 12 | 7.3% | |
| 1.225201636e-05 | 1 | 0.6% | |
| 2.755718633e-06 | 1 | 0.6% | |
| 0.0001131059393 | 1 | 0.6% | |
| 2.767683421e-05 | 1 | 0.6% | |
| 5.01801827e-05 | 1 | 0.6% | |
| 8.984986084e-05 | 1 | 0.6% | |
| 8.672590624e-08 | 1 | 0.6% | |
| 6.923849199e-06 | 1 | 0.6% | |
| 5.089558215e-06 | 1 | 0.6% | |
| Other values (143) | 143 | 87.2% |
| Value | Count | Frequency (%) | |
| 0 | 12 | 7.3% | |
| 8.672590624e-08 | 1 | 0.6% | |
| 3.620348656e-07 | 1 | 0.6% | |
| 3.628367807e-07 | 1 | 0.6% | |
| 5.962482227e-07 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 0.0008685085538 | 1 | 0.6% | |
| 0.0006799211333 | 1 | 0.6% | |
| 0.0006634268388 | 1 | 0.6% | |
| 0.000648855722 | 1 | 0.6% | |
| 0.0006293165923 | 1 | 0.6% |
| Distinct | 164 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41962453.03 |
|---|---|
| Minimum | 38019 |
| Maximum | 1397715000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 38019 |
|---|---|
| 5-th percentile | 187629.9 |
| Q1 | 2837354.25 |
| median | 10062506 |
| Q3 | 30378991 |
| 95-th percentile | 124137000.8 |
| Maximum | 1397715000 |
| Range | 1397676981 |
| Interquartile range (IQR) | 27541636.75 |
Descriptive statistics
| Standard deviation | 154968347.2 |
|---|---|
| Coefficient of variation (CV) | 3.693024025 |
| Kurtosis | 68.24629181 |
| Mean | 41962453.03 |
| Median Absolute Deviation (MAD) | 8752651.5 |
| Skewness | 8.071452003 |
| Sum | 6881842297 |
| Variance | 2.401518863e+16 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1326590 | 1 | 0.6% | |
| 9321018 | 1 | 0.6% | |
| 11694719 | 1 | 0.6% | |
| 82913906 | 1 | 0.6% | |
| 11062113 | 1 | 0.6% | |
| 1394973 | 1 | 0.6% | |
| 11263077 | 1 | 0.6% | |
| 43053054 | 1 | 0.6% | |
| 6777452 | 1 | 0.6% | |
| 126264931 | 1 | 0.6% | |
| Other values (154) | 154 | 93.9% |
| Value | Count | Frequency (%) | |
| 38019 | 1 | 0.6% | |
| 38964 | 1 | 0.6% | |
| 52823 | 1 | 0.6% | |
| 71808 | 1 | 0.6% | |
| 97118 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 1397715000 | 1 | 0.6% | |
| 1366417754 | 1 | 0.6% | |
| 270625568 | 1 | 0.6% | |
| 216565318 | 1 | 0.6% | |
| 200963599 | 1 | 0.6% |
| Distinct | 160 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 4 |
| Missing (%) | 2.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 196.6975754 |
|---|---|
| Minimum | 2.040608667 |
| Maximum | 7952.998418 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 2.040608667 |
|---|---|
| 5-th percentile | 4.070300071 |
| Q1 | 37.46254922 |
| median | 83.9494918 |
| Q3 | 197.3783688 |
| 95-th percentile | 512.3700563 |
| Maximum | 7952.998418 |
| Range | 7950.95781 |
| Interquartile range (IQR) | 159.9158196 |
Descriptive statistics
| Standard deviation | 648.9721845 |
|---|---|
| Coefficient of variation (CV) | 3.299340031 |
| Kurtosis | 130.3715878 |
| Mean | 196.6975754 |
| Median Absolute Deviation (MAD) | 53.86764375 |
| Skewness | 10.95930711 |
| Sum | 31471.61206 |
| Variance | 421164.8963 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 106.9601289 | 1 | 0.6% | |
| 66.05761628 | 1 | 0.6% | |
| 623.3019704 | 1 | 0.6% | |
| 219.9785759 | 1 | 0.6% | |
| 309.8814672 | 1 | 0.6% | |
| 93.67719744 | 1 | 0.6% | |
| 63.5790788 | 1 | 0.6% | |
| 69.43781291 | 1 | 0.6% | |
| 113.2855865 | 1 | 0.6% | |
| 46.66573975 | 1 | 0.6% | |
| Other values (150) | 150 | 91.5% | |
| (Missing) | 4 | 2.4% |
| Value | Count | Frequency (%) | |
| 2.040608667 | 1 | 0.6% | |
| 2.973745582 | 1 | 0.6% | |
| 3.24787091 | 1 | 0.6% | |
| 3.518413965 | 1 | 0.6% | |
| 3.69225 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 7952.998418 | 1 | 0.6% | |
| 1514.46875 | 1 | 0.6% | |
| 1239.579312 | 1 | 0.6% | |
| 758.9845515 | 1 | 0.6% | |
| 669.4941349 | 1 | 0.6% |
Income group
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| High income | |
|---|---|
| Lower middle income | |
| Upper middle income | |
| Low income |
| Value | Count | Frequency (%) | |
| High income | 49 | 29.9% | |
| Lower middle income | 45 | 27.4% | |
| Upper middle income | 42 | 25.6% | |
| Low income | 28 | 17.1% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 15.07317073 |
| Min length | 10 |
| Distinct | 152 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 7.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.927697049e+11 |
|---|---|
| Minimum | 429016605.2 |
| Maximum | 1.434290284e+13 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 429016605.2 |
|---|---|
| 5-th percentile | 1687456820 |
| Q1 | 1.279395585e+10 |
| median | 3.984651639e+10 |
| Q3 | 2.473862951e+11 |
| 95-th percentile | 1.716323652e+12 |
| Maximum | 1.434290284e+13 |
| Range | 1.434247383e+13 |
| Interquartile range (IQR) | 2.345923393e+11 |
Descriptive statistics
| Standard deviation | 1.342447748e+12 |
|---|---|
| Coefficient of variation (CV) | 3.417900443 |
| Kurtosis | 78.87985464 |
| Mean | 3.927697049e+11 |
| Median Absolute Deviation (MAD) | 3.607218915e+10 |
| Skewness | 8.072374773 |
| Sum | 5.970099514e+13 |
| Variance | 1.802165957e+24 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 9.61076624e+10 | 1 | 0.6% | |
| 2.827113185e+12 | 1 | 0.6% | |
| 1.269482339e+10 | 1 | 0.6% | |
| 4.211422679e+11 | 1 | 0.6% | |
| 4.463147395e+11 | 1 | 0.6% | |
| 6.698363422e+10 | 1 | 0.6% | |
| 2122450630 | 1 | 0.6% | |
| 3941474311 | 1 | 0.6% | |
| 1.131495134e+10 | 1 | 0.6% | |
| 1.801617412e+11 | 1 | 0.6% | |
| Other values (142) | 142 | 86.6% | |
| (Missing) | 12 | 7.3% |
| Value | Count | Frequency (%) | |
| 429016605.2 | 1 | 0.6% | |
| 596033333.3 | 1 | 0.6% | |
| 825385185.2 | 1 | 0.6% | |
| 1050992593 | 1 | 0.6% | |
| 1185728677 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 1.434290284e+13 | 1 | 0.6% | |
| 5.081769542e+12 | 1 | 0.6% | |
| 3.845630031e+12 | 1 | 0.6% | |
| 2.875142315e+12 | 1 | 0.6% | |
| 2.827113185e+12 | 1 | 0.6% |
| Distinct | 152 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 7.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21040.9458 |
|---|---|
| Minimum | 782.8165888 |
| Maximum | 121292.7393 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | 782.8165888 |
|---|---|
| 5-th percentile | 1654.432159 |
| Q1 | 4806.334614 |
| median | 13104.71408 |
| Q3 | 31600.67621 |
| 95-th percentile | 59934.2016 |
| Maximum | 121292.7393 |
| Range | 120509.9227 |
| Interquartile range (IQR) | 26794.3416 |
Descriptive statistics
| Standard deviation | 21699.03686 |
|---|---|
| Coefficient of variation (CV) | 1.031276686 |
| Kurtosis | 3.435196544 |
| Mean | 21040.9458 |
| Median Absolute Deviation (MAD) | 9696.450238 |
| Skewness | 1.682648514 |
| Sum | 3198223.761 |
| Variance | 470848200.5 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 5355.27019 | 1 | 0.6% | |
| 9086.060696 | 1 | 0.6% | |
| 2423.828765 | 1 | 0.6% | |
| 59110.56256 | 1 | 0.6% | |
| 3252.546371 | 1 | 0.6% | |
| 17956.1054 | 1 | 0.6% | |
| 13620.11848 | 1 | 0.6% | |
| 31399.41567 | 1 | 0.6% | |
| 15636.55376 | 1 | 0.6% | |
| 43235.71757 | 1 | 0.6% | |
| Other values (142) | 142 | 86.6% | |
| (Missing) | 12 | 7.3% |
| Value | Count | Frequency (%) | |
| 782.8165888 | 1 | 0.6% | |
| 984.0280497 | 1 | 0.6% | |
| 1103.643616 | 1 | 0.6% | |
| 1143.453225 | 1 | 0.6% | |
| 1269.601399 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 121292.7393 | 1 | 0.6% | |
| 101375.7753 | 1 | 0.6% | |
| 88240.90103 | 1 | 0.6% | |
| 70989.25813 | 1 | 0.6% | |
| 69900.87785 | 1 | 0.6% |
| Distinct | 135 |
|---|---|
| Distinct (%) | 83.9% |
| Missing | 3 |
| Missing (%) | 1.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.56236025 |
|---|---|
| Minimum | -5.1 |
| Maximum | 28.29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.3 KiB |
Quantile statistics
| Minimum | -5.1 |
|---|---|
| 5-th percentile | 5.1 |
| Q1 | 10.9 |
| median | 21.9 |
| Q3 | 25.3 |
| 95-th percentile | 27.15 |
| Maximum | 28.29 |
| Range | 33.39 |
| Interquartile range (IQR) | 14.4 |
Descriptive statistics
| Standard deviation | 8.216405275 |
|---|---|
| Coefficient of variation (CV) | 0.4426379601 |
| Kurtosis | -0.7339420296 |
| Mean | 18.56236025 |
| Median Absolute Deviation (MAD) | 4.55 |
| Skewness | -0.7333183794 |
| Sum | 2988.54 |
| Variance | 67.50931564 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 10.55 | 3 | 1.8% | |
| 24.9 | 3 | 1.8% | |
| 24.55 | 3 | 1.8% | |
| 26 | 3 | 1.8% | |
| 21.4 | 3 | 1.8% | |
| 27.15 | 3 | 1.8% | |
| 26.8 | 3 | 1.8% | |
| 25.5 | 2 | 1.2% | |
| 22.35 | 2 | 1.2% | |
| 24.45 | 2 | 1.2% | |
| Other values (125) | 134 | 81.7% | |
| (Missing) | 3 | 1.8% |
| Value | Count | Frequency (%) | |
| -5.1 | 1 | 0.6% | |
| -0.7 | 1 | 0.6% | |
| 1.5 | 1 | 0.6% | |
| 1.55 | 1 | 0.6% | |
| 1.7 | 1 | 0.6% |
| Value | Count | Frequency (%) | |
| 28.29 | 1 | 0.6% | |
| 28.25 | 1 | 0.6% | |
| 28 | 1 | 0.6% | |
| 27.85 | 1 | 0.6% | |
| 27.65 | 1 | 0.6% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| df_index | Country name | Mortality rate | Normalized cases | Normalized deaths | Population | Density | Income group | GDP | GDP per cap | Temperature | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Afghanistan | 3.707389 | 0.001030 | 3.819487e-05 | 38041754.0 | 56.937760 | Low income | 1.910135e+10 | 2293.551684 | 12.60 |
| 1 | 1 | Angola | 3.660103 | 0.000147 | 5.373085e-06 | 31825295.0 | 24.713052 | Lower middle income | 9.463542e+10 | 6929.678158 | 21.55 |
| 2 | 2 | Albania | 2.851061 | 0.004608 | 1.313857e-04 | 2854191.0 | 104.612263 | Upper middle income | 1.527808e+10 | 14495.078514 | 11.40 |
| 3 | 4 | United Arab Emirates | 0.453552 | 0.009275 | 4.206528e-05 | 9770529.0 | 135.609110 | High income | 4.211423e+11 | 69900.877848 | 27.00 |
| 4 | 7 | Antigua and Barbuda | 3.061224 | 0.001009 | 3.089026e-05 | 97118.0 | 218.831818 | High income | 1.727759e+09 | 22816.452202 | 26.00 |
| 5 | 8 | Australia | 3.224852 | 0.001066 | 3.437902e-05 | 25364307.0 | 3.247871 | High income | 1.392681e+12 | 53320.269043 | 21.65 |
| 6 | 9 | Austria | 1.864310 | 0.004755 | 8.865541e-05 | 8877067.0 | 107.127967 | High income | 4.463147e+11 | 59110.562559 | 6.35 |
| 7 | 10 | Azerbaijan | 1.466349 | 0.003980 | 5.836391e-05 | 10023318.0 | 120.234317 | Upper middle income | 4.804765e+10 | 15000.816497 | 11.95 |
| 8 | 11 | Burundi | 0.206186 | 0.000042 | 8.672591e-08 | 11530580.0 | 435.178271 | Low income | 3.012335e+09 | 782.816589 | 19.80 |
| 9 | 12 | Belgium | 8.841963 | 0.009823 | 8.685086e-04 | 11484055.0 | 377.379590 | High income | 5.296067e+11 | 54545.150885 | 9.55 |
Last rows
| df_index | Country name | Mortality rate | Normalized cases | Normalized deaths | Population | Density | Income group | GDP | GDP per cap | Temperature | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 154 | 171 | Ukraine | 1.988373 | 0.004519 | 8.984986e-05 | 44385155.0 | 77.029671 | Lower middle income | 1.537811e+11 | 13341.210519 | 8.30 |
| 155 | 172 | Uruguay | 2.352352 | 0.000577 | 1.357701e-05 | 3461734.0 | 19.708028 | High income | 5.604591e+10 | 22454.657943 | 17.55 |
| 156 | 174 | Uzbekistan | 0.824532 | 0.001632 | 1.346013e-05 | 33580650.0 | 77.470851 | Lower middle income | 5.792129e+10 | 7288.765626 | 12.05 |
| 157 | 175 | St. Vincent and the Grenadines | 0.000000 | 0.000579 | 0.000000e+00 | 110589.0 | 282.589744 | Upper middle income | 8.253852e+08 | 12982.896389 | 26.80 |
| 158 | 176 | Venezuela, RB | 0.834028 | 0.002523 | 2.104095e-05 | 28515829.0 | 32.730792 | Upper middle income | NaN | NaN | 25.35 |
| 159 | 177 | Vietnam | 3.274088 | 0.000011 | 3.628368e-07 | 96462106.0 | 308.125246 | Lower middle income | 2.619212e+11 | 8374.444328 | 24.45 |
| 160 | 178 | Yemen, Rep. | 28.916256 | 0.000070 | 2.012899e-05 | 29161922.0 | 53.977853 | Low income | NaN | NaN | 23.85 |
| 161 | 179 | South Africa | 2.446012 | 0.011433 | 2.796531e-04 | 58558270.0 | 47.630120 | Upper middle income | 3.514316e+11 | 12999.120256 | 17.75 |
| 162 | 180 | Zambia | 2.272105 | 0.000818 | 1.858795e-05 | 17861030.0 | 23.341479 | Lower middle income | 2.306472e+10 | 3623.699395 | 21.40 |
| 163 | 181 | Zimbabwe | 2.909138 | 0.000533 | 1.549968e-05 | 14645468.0 | 37.324591 | Lower middle income | 2.144076e+10 | 2953.484113 | 21.00 |